Jingfen Wang

965 citations
33 papers · 386 · h-index 10

Impact in

Papers in

Jingfen Wang

31 papers receiving 383 citations

Peers

Jingfen Wang
Comparison fields: 5 of 76
  • Molecular Medicine 41
  • Reproductive Medicine 27
  • Microbiology 20
  • Molecular Biology 184
  • Oncology 65
Replace Thomas J. Graddis with:
Thomas J. Graddis United States
Linda C. Bullions United States
Federico Odreman Italy
Katarzyna Walkiewicz United States
M. Comellas-Bigler Germany
Shintaro Aibara Sweden
Débora Broch Trentini Austria
Robert Dagil Denmark
Jingfen Wang relative to Thomas J. Graddis United States Thomas J. Graddis's profile →
Citations per field
00.5×10×16.5×
Thomas J. Graddis · 1×
Citations per year

Countries citing papers authored by Jingfen Wang

Since Specialization
Citations

This map shows the geographic impact of Jingfen Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jingfen Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingfen Wang more than expected).

Fields of papers citing papers by Jingfen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jingfen Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jingfen Wang. The network helps show where Jingfen Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Jingfen Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jingfen Wang Line = papers co-authored together Jingfen Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019102
2 201354
3 201344
4 202141
5 202230
6 201921
7 202214
8 202112
9 20239
10 20109
11 20228
12 20207
13 20235
14 20234
15 20254
16 20214
17 20253
18 20242
19
The Impact of Open Access on the Academic Libraries
20061
20 20251

About Jingfen Wang

Jingfen Wang is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Epidemiology, having authored 33 papers that have together received 386 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (13 papers), Advanced Breast Cancer Therapies (11 papers), Cancer Treatment and Pharmacology (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Antibiotic Resistance in Bacteria (2 papers), Lung Cancer Research Studies (2 papers), Histone Deacetylase Inhibitors Research (2 papers) and Radiopharmaceutical Chemistry and Applications (2 papers). The work is most often cited by research in Molecular Medicine (41 citations), Reproductive Medicine (27 citations), Microbiology (20 citations), Molecular Biology (184 citations) and Oncology (65 citations). Jingfen Wang has collaborated with scholars based in China, United States and India. Frequent co-authors include Xing Zhang, Wenda Wang, Liangliang Shen, Tingyun Kuang, Jian‐Ren Shen, Zihui Huang, Jian Xu, Guangye Han, Shenghai Chang and Yangyang Du. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Emerging Microbes & Infections, Clinical Cancer Research and Journal of Assisted Reproduction and Genetics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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